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Databricks vs Jedox comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
94
Ranking in other categories
Cloud Data Warehouse (4th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
Jedox
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
13
Ranking in other categories
Business Performance Management (14th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.7%, up 9.1% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 3.2% mindshare, down 5.0% since last year.
Cloud Data Warehouse Mindshare Distribution
ProductMindshare (%)
Databricks9.7%
Snowflake15.1%
Teradata8.8%
Other66.4%
Cloud Data Warehouse
Business Performance Management Mindshare Distribution
ProductMindshare (%)
Jedox3.2%
Anaplan6.5%
Adaptive Insights4.9%
Other85.4%
Business Performance Management
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Riyaz Halani - PeerSpot reviewer
Financial Controller at Zalando SE
Powerful BI tool for analyzing financial performance and stable performance
I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"Databricks has a Unified Catalog that assists with secured access and governance."
"Databricks also offers exceptional performance and scalability."
"The solution is very easy to use."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The features of Databricks have impacted my organization positively, as it has done so very efficiently since we switched from several platforms to using this one."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The data entry point is most valuable, and the way we can customize our report or do data entry is very good."
"The ETL function simplifies many tasks."
"We can configure and have complete freedom while creating solutions."
"The solution is very versatile."
"The ease of reporting is one of Jedox's most valuable features."
"With Jedox, those kinds of pain points have been removed, and now if I create my dashboard once, people just need to add the data or pull the data, or the data just comes in on a scheduled basis from various systems, and my dashboards are ready."
"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."
"The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."
 

Cons

"In my opinion, areas of Databricks that have room for improvement involve the dashboards. Until recently, everyone used third-party systems such as Power BI to connect to Databricks for dashboards and reports, but they're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further."
"There would also be benefits if more options were available for workers, or the clusters of the two points."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Sometimes we experience issues connecting our database to Databricks. There are no direct connectors — they are very limited."
"Data governance should be addressed. We have some trouble connecting all the governance solutions with Databricks, which means the integrative capabilities are problematic."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"The solution should enable a modern look and feel in the front end."
"From a development perspective, there's room for improvement in the area called the designer, where you actually build your reports to make it easier to manage the process."
"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."
"Online pixel-perfect reporting is an aspect that has room for improvement."
"It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming."
"There is not much training for Jedox."
"Visualization is something they need to improve. We have already told them about this, and they should be working on it."
"Visualization is something they need to improve. There should be some dropdown facilities in it like Excel."
 

Pricing and Cost Advice

"Databricks' cost could be improved."
"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
"The billing of Databricks can be difficult and should improve."
"Databricks uses a price-per-use model, where you can use as much compute as you need."
"Price-wise, I would rate Databricks a three out of five."
"The solution is based on a licensing model."
"I would rate the tool’s pricing an eight out of ten."
"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."
"The product’s pricing will not be suitable for setting up a small solution."
"Jedox was a bit cheaper compared to Calumo."
"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."
"Excellent value for money."
"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."
"The solution's pricing is specific to your requirements."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
7%
Healthcare Company
6%
Comms Service Provider
12%
Computer Software Company
9%
Aerospace/Defense Firm
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business27
Midsize Enterprise12
Large Enterprise57
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise3
Large Enterprise4
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
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Comparisons

 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Jedox EPM
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever
Find out what your peers are saying about Snowflake Computing, Teradata, Google and others in Cloud Data Warehouse. Updated: May 2026.
896,942 professionals have used our research since 2012.